petia radeva

About petia radeva

petia radeva, With an exceptional h-index of 54 and a recent h-index of 31 (since 2020), a distinguished researcher at Universidad de Barcelona, specializes in the field of Deep learning, Computer Vision, Medical Imaging, e-Health, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decoding class dynamics in learning with noisy labels

Bayesian DivideMix++ for Enhanced Learning with Noisy Labels

Exploration of interpretability techniques for deep covid-19 classification using chest x-ray images

A new person re-identification method by defining CNN-based feature extractor and sparse representation

A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology

F2-Net: Feature Finding Network for Long-Tailed Fine-Grained Food Recognition

Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition

A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention

petia radeva Information

University

Position

Full professor Senior Researcher Computer Vision Center

Citations(all)

11448

Citations(since 2020)

4503

Cited By

8912

hIndex(all)

54

hIndex(since 2020)

31

i10Index(all)

244

i10Index(since 2020)

111

Email

University Profile Page

Google Scholar

petia radeva Skills & Research Interests

Deep learning

Computer Vision

Medical Imaging

e-Health

Machine Learning

Top articles of petia radeva

Decoding class dynamics in learning with noisy labels

Pattern Recognition Letters

2024/4/19

Bayesian DivideMix++ for Enhanced Learning with Noisy Labels

Neural Networks

2024/1/10

Exploration of interpretability techniques for deep covid-19 classification using chest x-ray images

Journal of Imaging

2024/2

A new person re-identification method by defining CNN-based feature extractor and sparse representation

Multimedia Tools and Applications

2024/1

A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology

2023/12/7

F2-Net: Feature Finding Network for Long-Tailed Fine-Grained Food Recognition

2023/8/1

Bhalaji Nagarajan
Bhalaji Nagarajan

H-Index: 2

Petia Radeva
Petia Radeva

H-Index: 31

Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition

2023/10/29

A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention

arXiv preprint arXiv:2310.11896

2023/10/18

Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder

arXiv preprint arXiv:2310.11910

2023/10/18

Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams

Pervasive and Mobile Computing

2023/10/1

Martín Menchón
Martín Menchón

H-Index: 0

Petia Radeva
Petia Radeva

H-Index: 31

Time-Aware Circulant Matrices for Question-Based Temporal Localization

2023/9/5

Alex Falcon
Alex Falcon

H-Index: 0

Petia Radeva
Petia Radeva

H-Index: 31

Deep ensemble-based hard sample mining for food recognition

Journal of Visual Communication and Image Representation

2023/9/1

Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network

Journal of Ambient Intelligence and Humanized Computing

2023/9

Ischemic heart disease and vascular risk factors are associated with accelerated brain aging

Cardiovascular Imaging

2023/7/1

CCLM: Class-Conditional Label Noise Modelling

2023/6/25

Commentary on explainable artificial intelligence methods: SHAP and LIME

arXiv preprint arXiv:2305.02012

2023/5/3

Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN

Food control

2023/5/1

Characterizing the contribution of dependent features in XAI methods

arXiv preprint arXiv:2304.01717

2023/4/4

Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields

arXiv preprint arXiv:2303.12234

2023/3/21

Ricardo Marques
Ricardo Marques

H-Index: 5

Petia Radeva
Petia Radeva

H-Index: 31

ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets

arXiv preprint arXiv:2303.09269

2023/3/16

See List of Professors in petia radeva University(Universidad de Barcelona)

Co-Authors

academic-engine